7. Industrial Conference on Data Mining 2007: Leipzig, Germany

Isabelle Bichindaritz, Petra Perner (Eds.): Advances in Data Mining. 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 2007, Poster and Workshop Proceedings. IBaI Report 2007

Poster Proceedings ICDM 2007

Siyamand Ayubi, Ahmad Baraani-Dastjerdi, Maybin K. Muyeba: An Efficient Classifier Using Decision Trees and Association Rules. 1-12
Young-suk Shin, Sera No, Myung-Su Kim: PCA versus LDA for Dental Identification. 13-19

Workshop on Data Mining in Life Sciences

Olga Vorobieva, Rainer Schmidt: Explaining Model Exceptions by the Help of Case-Based Reasoning. 20-29
Rathnavel Rajagopal, Isabelle Bichindaritz: Knowledge Discovery in the Form of Prototypical Cases Using Advanced Data Mining Techniques. 30-39
Ryan Potter: Comparison of Classification Algorithms Applied to Breast Cancer Diagnosis and Prognosis. 40-49
Gowri Allampalli-Nagaraj, Isabelle Bichindaritz: Semantic Indexing Of Images Using A Web Ontology Language. 50-60
Logan Dillard, Amalia Annest: Predicting Lung Cancer Prognosis from Gene Expression Levels. 61-72

Workshop on Data Mining in Marketing

Meghana Deodhar, Joydeep Ghosh: Simultaneous Co-clustering and Modeling of Market Data. 73-82
Prakash K. Candran: Analytical CRM: Still the most Important Key for Successful CRM. 83
Sonja Kratzmair: How SME's can use Analytics to Support their Marketing and Sales, A Case Study. 84
Clemens Tilke: Successful Data Mining also Includes Using Data on the Right Level of Aggregation and Transformation. 85
Dragos Trinca, Sanguthevar Rajasekaran: Fast Cryptographic Multi-Party Protocols for Computing Boolean Scalar Products with Applications to Privacy-Preserving Association: Rule Mining in Vertically Partitioned Data. 86